2010/08/20 by Farnood Merrikh-Bayat, Merrikh-Bayat, Farnood, Saeed Bagheri Shouraki +1
Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #CCD and CMOS Imaging Sensors #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Neuroscience and Neural Engineering #cs.AR
paper · pdf · doi:10.48550/arxiv.1008.3452
5pages, 4 figures, Accepted in World Conference on Information Technology, turkey, 2010
openalex publication_date 2010/08/20 · arxiv created 2010/09/02 · arxiv updated 2010/09/03 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In almost all of the currently working circuits, especially in analog circuits implementing signal processing applications, basic arithmetic operations such as multiplication, addition, subtraction and division are performed on values which are represented by voltages or currents. However, in this paper, we propose a new and simple method for performing analog arithmetic operations which in this scheme, signals are represented and stored through a memristance of the newly found circuit element, i.e. memristor, instead of voltage or current. Some of these operators such as divider and multiplier are much simpler and faster than their equivalent voltage-based circuits and they require less chip area. In addition, a new circuit is designed for programming the memristance of the memristor with predetermined analog value. Presented simulation results demonstrate the effectiveness and the accuracy of the proposed circuits.